Low-Complexity DOA Estimation via Synthetic Coprime Polarization Sensitive Array with Reduced Mutual Coupling in Nonuniform Noise

作     者：Jiang, Guojun Yang, Yunlong Yang, Xuguang 

作者机构：East China Univ Sci & Technol Sch Informat Sci & Engn Shanghai 200237 Peoples R China Donghua Univ Sch Informat Sci & Technol Shanghai 201620 Peoples R China Longdong Univ Sch Informat Engn Qingyang 745000 Gansu Peoples R China 

出 版 物：《CIRCUITS SYSTEMS AND SIGNAL PROCESSING》 (Circ Syst Signal Process)

年 卷 期：2023年第42卷第11期

页      面：6988-7003页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：National Natural Science Foundations of China [62101190, 62061026] Natural Science Foundation of Shanghai [21ZR1416800] Fundamental Research Funds for the Central Universities [2232021D-40] 

主　　题：Coprime array Polarization sensitive array Mutual coupling Direction of arrival estimation Nonuniform noise 

摘      要：To improve the performance of underdetermined direction of arrival (DOA) estimation in the scenario of strong mutual coupling and unknown nonuniform noise, this paper presents a novel coprime polarization sensitive array (PSA) with limited antenna number and proposes a low-complexity DOA estimation method via iterative covariance matrix reconstruction. The proposed synthetic array is composed of two single-polarized subarrays with dipole or loop antennas. Owing to the polarization domain, it can efficiently reduce the mutual coupling between subarrays, which dominates the effect of mutual coupling in the existing coprime arrays. For effectively eliminating the nonuniform noise, the cross-covariance matrix between subarrays is utilized. Based on it, the full aperture and all degrees of freedoms of the difference coarray with holes are obtained, and then, initial DOAs are estimated by using orthogonal matching pursuit algorithm. The oblique projection operators depending on initial DOAs are constructed to fill holes in difference coarray, in order to generate a larger covariance matrix for refined angle estimation. Then, a fast iterative procedure associated with covariance matrix reconstruction is given to achieve final DOA estimation, for further enhancing estimation performance. Theoretical analysis and simulation results verify the effectiveness of the proposed array and method.